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High-resolution gridded population datasets for Latin America and the Caribbean using official statistics.
McKeen, Tom; Bondarenko, Maksym; Kerr, David; Esch, Thomas; Marconcini, Mattia; Palacios-Lopez, Daniela; Zeidler, Julian; Valle, R Catalina; Juran, Sabrina; Tatem, Andrew J; Sorichetta, Alessandro.
Afiliação
  • McKeen T; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK. t.l.mckeen@soton.ac.uk.
  • Bondarenko M; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Kerr D; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Esch T; German Aerospace Centre (DLR), Wessling, Germany.
  • Marconcini M; German Aerospace Centre (DLR), Wessling, Germany.
  • Palacios-Lopez D; German Aerospace Centre (DLR), Wessling, Germany.
  • Zeidler J; German Aerospace Centre (DLR), Wessling, Germany.
  • Valle RC; United Nations Population Fund (UNFPA), Regional Office for Latin America and the Caribbean, Panama, Panama.
  • Juran S; United Nations Population Fund (UNFPA), Regional Office for Latin America and the Caribbean, Panama, Panama.
  • Tatem AJ; WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
  • Sorichetta A; Dipartimento di Scienze della Terra "A. Desio", Università degli Studi di Milano, Milano, Italy.
Sci Data ; 10(1): 436, 2023 07 07.
Article em En | MEDLINE | ID: mdl-37419895
"Leaving no one behind" is the fundamental objective of the 2030 Agenda for Sustainable Development. Latin America and the Caribbean is marked by social inequalities, whilst its total population is projected to increase to almost 760 million by 2050. In this context, contemporary and spatially detailed datasets that accurately capture the distribution of residential population are critical to appropriately inform and support environmental, health, and developmental applications at subnational levels. Existing datasets are under-utilised by governments due to the non-alignment with their own statistics. Therefore, official statistics at the finest level of administrative units available have been implemented to construct an open-access repository of high-resolution gridded population datasets for 40 countries in Latin American and the Caribbean. These datasets are detailed here, alongside the 'top-down' approach and methods to generate and validate them. Population distribution datasets for each country were created at a resolution of 3 arc-seconds (approximately 100 m at the equator), and are all available from the WorldPop Data Repository.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dinâmica Populacional Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dinâmica Populacional Idioma: En Ano de publicação: 2023 Tipo de documento: Article